Software Engineer, Elastic
AI Developer Tooling, Engineering Productivity
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 5+ years of professional software engineering experience
- Strong backend or full-stack development experience using languages such as Python, Go, Java, TypeScript, or similar
- Experience building developer tooling, internal platforms, or automation systems
- Hands-on experience integrating or building applications using modern LLMs or AI APIs
- Strong understanding of software development workflows, CI/CD, and version control ecosystems
- Excellent communication skills and ability to influence technical teams
Desirable
- Experience building AI-assisted coding tools, developer copilots, or intelligent automation systems
- Familiarity with prompt engineering, evaluation strategies, RAG architectures, or agent-based workflows
- Experience working with IDE extensions, developer portals, or code intelligence platforms
- Experience designing experimentation frameworks or telemetry for developer productivity tooling
- Background in platform engineering, DevEx, or internal infrastructure tooling
What the job involves
- We are looking for a Software Engineer to help transform how our engineers build software by designing and delivering AI-powered developer tooling
- This is a highly strategic internal-facing role focused on accelerating software development, reducing friction across the SDLC, and driving adoption of AI-assisted development practices across the organization
- You will build intelligent tools, integrations, and workflows that enable engineers to move faster, ship safer code, and spend more time solving meaningful problems
- Beyond building systems, you will act as an advocate and change agent—helping teams learn, trust, and effectively adopt AI-augmented development workflows
- You'll design and develop internal tools that leverage LLMs, automation, and machine learning to accelerate coding, testing, debugging, documentation, and code review workflows
- Build integrations with IDEs, source control platforms, CI/CD systems, internal developer portals, and knowledge platforms
- Create reusable APIs, services, and SDKs that enable teams to embed AI capabilities into their own development workflows
- Develop guardrails, evaluation frameworks, and quality controls for AI-generated code and outputs
- Identify bottlenecks across the software development lifecycle and design AI-driven solutions to reduce manual effort and context switching
- Build automation that improves onboarding, knowledge discovery, service ownership, and codebase navigation
- Develop intelligent assistants that help engineers understand systems, dependencies, and operational data
- Act as a champion for AI-assisted development practices across the organization
- Partner with engineering teams to pilot new tooling, gather feedback, and iterate rapidly
- Educate teams through workshops, documentation, internal demos, and best practice guides
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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